def the_future(request):
#Check for rate limiting if too many requests
max_allowable_requests = 3600
ip = util.get_client_ip(request)
Rate_Limit.objects.create(ip=ip, function='the_future')
limit = Rate_Limit.objects.filter(ip=ip, function='the_future').count()
if limit > max_allowable_requests:
error_text = _("Slow down <span class='notranslate'>Rainman</span> - you've made too many requests in the last hour")
return HttpResponse(error_text, mimetype="text/plain", status=429)
after = True
if "after" in request.GET:
time = util.unix_time_to_datetime_utc(float(request.GET["after"]) / 1e3)
elif "before" in request.GET:
time = util.unix_time_to_datetime_utc(float(request.GET["before"]) / 1e3)
after=False
else:
time = util.get_utc_time_now()
predictions_per_page = 10
if after:
future_price_times = Future_Price.objects.filter(time_to_match_price__gt=time).distinct('time_to_match_price').order_by('time_to_match_price')[0:predictions_per_page]
future_prices = Future_Price.objects.filter(time_to_match_price__in=[x.time_to_match_price for x in future_price_times]).order_by('time_to_match_price', 'target_price')
else:
future_price_times = Future_Price.objects.filter(time_to_match_price__lt=time).distinct('time_to_match_price').order_by('-time_to_match_price')[0:predictions_per_page]
future_prices = Future_Price.objects.filter(time_to_match_price__in=[x.time_to_match_price for x in future_price_times]).order_by('time_to_match_price', 'target_price')
response_data = []
for f in future_prices:
received_amounts = Received_Amount.objects.filter(prediction__future_price=f)
if len(received_amounts) > 0:
expires = f.time_to_match_price.isoformat()
prediction = {
'id': f.id,
'target_price': float(f.target_price),
'deposits': [{
'amount': float(r.amount),
'lt': r.prediction.price_will_be_less_than_target,
'time_received': r.time.isoformat(),
'js_time_received': int(util.datetime_to_unix_time(r.time) * 1e3)
} for r in received_amounts]
}
if len(response_data) == 0 or response_data[-1]["expires"] != expires:
response_data.append({
'expires': expires,
'js_expires': int(util.datetime_to_unix_time(f.time_to_match_price) * 1e3),
'predictions': [prediction]})
else:
response_data[-1]['predictions'].append(prediction)
return HttpResponse(json.dumps(response_data), mimetype="application/json")
def find_clear_minute_prices(trades, last_tid, last_price):
"""
given a series of trades, find any clear minutes in that series and the
price for that clear_minute
"""
prices = []
for trade in trades:
trade_tid = int(trade["tid"])
prior_date = util.unix_time_to_datetime_utc(last_tid * 1e-6)
trade_date = util.unix_time_to_datetime_utc(int(trade["tid"]) * 1e-6)
clear_minutes = get_clear_minutes(prior_date, trade_date)
for clear_minute in clear_minutes:
new_price = {
'time': clear_minute,
'price': last_price,
"rollover_id_a": last_tid,
"rollover_id_b": trade_tid,
}
prices.append(new_price)
last_tid = trade_tid
last_price = trade["price"]
return prices
def find_clear_minute_prices(trades, last_tid, last_price):
"""
given a series of trades, find any clear minutes in that series and the
price for that clear_minute
"""
prices = []
for trade in trades:
trade_tid = int(trade["tid"])
prior_date = util.unix_time_to_datetime_utc(last_tid * 1e-6)
trade_date = util.unix_time_to_datetime_utc(int(trade["tid"]) * 1e-6)
clear_minutes = get_clear_minutes(prior_date, trade_date)
for clear_minute in clear_minutes:
new_price = {
'time': clear_minute,
'price': last_price,
"rollover_id_a": last_tid,
"rollover_id_b": trade_tid,
}
prices.append(new_price)
last_tid = trade_tid
last_price = trade["price"]
return prices
def get_initial_price(self):
one_hour = datetime.timedelta(0,3600,0)
time_of_interest = util.get_utc_time_now() - one_hour
unix_time_of_interest = util.datetime_to_unix_time(time_of_interest) * 1e6
url = "https://mtgox.com/api/1/BTCUSD/trades?since=%i" % unix_time_of_interest
f = urllib.urlopen(url)
trades_json = f.read()
trades = json.loads(trades_json)["return"]
last_trade = trades[-1]
self.price_float = float(last_trade["price"])
self.price_int = float(last_trade["price_int"])
self.last_time_gox = util.unix_time_to_datetime_utc(last_trade["date"])
print("INITIAL PRICE: %f" % (self.price_float))
"""
def handle_trade(self, trade, new_msg_time_server, source):
new_msg_time_gox = util.unix_time_to_datetime_utc(trade["date"])
if(self.last_time_gox is not None):
tickovers = util.get_clear_minutes(self.last_time_gox, new_msg_time_gox)
# Set those minutes to the last price
for tickover in tickovers:
print("%s %f SAVING" % (tickover.isoformat(), self.price_float))
new_bitcoin_price = {
'time': tickover,
'price': self.price_float,
}
bitcoin_price = BitcoinPrice(**new_bitcoin_price)
bitcoin_price.save()
if source == "socket":
self.price_float = trade["price"]
self.price_int = trade["price_int"]
self.last_time_server = new_msg_time_server
self.last_time_gox = new_msg_time_gox
print("%s %f %s" % (new_msg_time_gox.isoformat(), self.price_float, source))
def handle(self, *args, **options):
wait_period = 2 #seconds between checks of the deposits
if already_running():
#self.stdout.write(datetime.datetime.now().isoformat() + " check_deposits is already running\n")
return
try:
last_received_amount = Received_Amount.objects.order_by('-time')[0]
last_tx_id = last_received_amount.tx_id
except: #IndexError:
last_tx_id = None
#self.stdout.write("started\n")
time_now = util.get_utc_time_now()
while (time_now.second < 55):
new_transactions = util.get_bitcoin_transactions(last_tx_id)
#self.stdout.write("New txs: %i\n" % len(new_transactions))
for new_tx in new_transactions:
try:
amount = new_tx["amount"]
except TypeError:
print "TYPERROR!!!!: %s" % new_tx
print new_tx["amount"]
if(new_tx["amount"] > 0):
tx = {
"tx_id": new_tx["txid"],
}
num_existing_transaction_entries = Received_Amount.objects.filter(**tx).count()
predictions = Prediction.objects.filter(receive_address=new_tx["address"])
if(num_existing_transaction_entries == 0 and predictions.count() == 1):
tx["prediction"] = predictions[0]
tx["amount"] = new_tx["amount"]
tx["time"] = util.unix_time_to_datetime_utc(new_tx["time"])
new_payment_obj = Received_Amount(**tx)
new_payment_obj.save()
elif last_tx_id is not None:
pass
#TODO raise some better notice, something has gone wrong, should never count the same tx twice.
if(len(new_transactions) > 0):
last_tx_id = new_transactions[-1]["txid"]
#self.stdout.write(last_tx_id + "\n")
time.sleep(wait_period)
time_now = util.get_utc_time_now()
def make_new_prediction(request):
#Check for rate limiting if too many predictions
max_allowable_predictions = 100
ip = util.get_client_ip(request)
Rate_Limit.objects.create(ip=ip, function='make_new_prediction')
limit = Rate_Limit.objects.filter(ip=ip, function='make_new_prediction').count()
if limit > max_allowable_predictions:
error_text = _("Slow down <span class='notranslate'>Rainman</span> - you've made too many predictions in the last hour")
return HttpResponse(error_text, mimetype="text/plain", status=429)
lt = request.POST["lt"] == "lt"
price = util.price(request.POST["price"])
if price is None:
error_text = _("Invalid price")
return HttpResponse(error_text, mimetype="text/plain", status=400)
unix_date = float(request.POST["time_to_check"]) / 1e3
utc_date = util.unix_time_to_datetime_utc(unix_date)
if utc_date is None:
error_text = _("Invalid date")
return HttpResponse(error_text, mimetype="text/plain", status=400)
if not utc_date.second == 0 and utc_date.microsecond == 0:
error_text = _("Date must not include seconds")
return HttpResponse(error_text, mimetype="text/plain", status=400)
if not util.datetime_is_in_the_future(utc_date, FUTURE_WINDOW):
error_text = _("Must be at least two hours into the future")
return HttpResponse(error_text, mimetype="text/plain", status=400)
return_address = request.POST["return_address"]
if re.search("\W", return_address) is not None:
error_text = _("Return address is invalid")
return HttpResponse(error_text, mimetype="text/plain", status=400)
return_address_is_valid = util.validate_bitcoin_address(return_address)
if not return_address_is_valid:
error_text = _("Return address is invalid")
return HttpResponse(error_text, mimetype="text/plain", status=400)
account_name = str(int(lt)) + "-" + str(price) + "-" + str(util.datetime_to_unix_time(utc_date)) + "-" + return_address
receive_address = util.get_bitcoin_address(account_name)
future_price = {
"target_price": price,
"time_to_match_price": utc_date,
"time_window_closes": utc_date - datetime.timedelta(0, FUTURE_WINDOW)
}
existing_future_price_obj = Future_Price.objects.filter(**future_price)
if existing_future_price_obj.count() > 0:
future_price_obj = existing_future_price_obj[0]
else:
future_price_obj = Future_Price(**future_price)
future_price_obj.save()
new_prediction = {
"future_price": future_price_obj,
"receive_address": receive_address,
"price_will_be_less_than_target": lt,
"return_address": return_address,
}
prediction_obj = Prediction(**new_prediction)
prediction_obj.save()
response_data = {
"address": receive_address
}
return HttpResponse(json.dumps(response_data), mimetype="application/json")
def make_new_prediction(request):
#Check for rate limiting if too many predictions
max_allowable_predictions = 100
ip = util.get_client_ip(request)
Rate_Limit.objects.create(ip=ip, function='make_new_prediction')
limit = Rate_Limit.objects.filter(ip=ip,
function='make_new_prediction').count()
if limit > max_allowable_predictions:
error_text = _(
"Slow down <span class='notranslate'>Rainman</span> - you've made too many predictions in the last hour"
)
return HttpResponse(error_text, mimetype="text/plain", status=429)
lt = request.POST["lt"] == "lt"
price = util.price(request.POST["price"])
if price is None:
error_text = _("Invalid price")
return HttpResponse(error_text, mimetype="text/plain", status=400)
unix_date = float(request.POST["time_to_check"]) / 1e3
utc_date = util.unix_time_to_datetime_utc(unix_date)
if utc_date is None:
error_text = _("Invalid date")
return HttpResponse(error_text, mimetype="text/plain", status=400)
if not utc_date.second == 0 and utc_date.microsecond == 0:
error_text = _("Date must not include seconds")
return HttpResponse(error_text, mimetype="text/plain", status=400)
if not util.datetime_is_in_the_future(utc_date, FUTURE_WINDOW):
error_text = _("Must be at least two hours into the future")
return HttpResponse(error_text, mimetype="text/plain", status=400)
return_address = request.POST["return_address"]
if re.search("\W", return_address) is not None:
error_text = _("Return address is invalid")
return HttpResponse(error_text, mimetype="text/plain", status=400)
return_address_is_valid = util.validate_bitcoin_address(return_address)
if not return_address_is_valid:
error_text = _("Return address is invalid")
return HttpResponse(error_text, mimetype="text/plain", status=400)
account_name = str(int(lt)) + "-" + str(price) + "-" + str(
util.datetime_to_unix_time(utc_date)) + "-" + return_address
receive_address = util.get_bitcoin_address(account_name)
future_price = {
"target_price": price,
"time_to_match_price": utc_date,
"time_window_closes": utc_date - datetime.timedelta(0, FUTURE_WINDOW)
}
existing_future_price_obj = Future_Price.objects.filter(**future_price)
if existing_future_price_obj.count() > 0:
future_price_obj = existing_future_price_obj[0]
else:
future_price_obj = Future_Price(**future_price)
future_price_obj.save()
new_prediction = {
"future_price": future_price_obj,
"receive_address": receive_address,
"price_will_be_less_than_target": lt,
"return_address": return_address,
}
prediction_obj = Prediction(**new_prediction)
prediction_obj.save()
response_data = {"address": receive_address}
return HttpResponse(json.dumps(response_data), mimetype="application/json")
def the_future(request):
#Check for rate limiting if too many requests
max_allowable_requests = 3600
ip = util.get_client_ip(request)
Rate_Limit.objects.create(ip=ip, function='the_future')
limit = Rate_Limit.objects.filter(ip=ip, function='the_future').count()
if limit > max_allowable_requests:
error_text = _(
"Slow down <span class='notranslate'>Rainman</span> - you've made too many requests in the last hour"
)
return HttpResponse(error_text, mimetype="text/plain", status=429)
after = True
if "after" in request.GET:
time = util.unix_time_to_datetime_utc(
float(request.GET["after"]) / 1e3)
elif "before" in request.GET:
time = util.unix_time_to_datetime_utc(
float(request.GET["before"]) / 1e3)
after = False
else:
time = util.get_utc_time_now()
predictions_per_page = 10
if after:
future_price_times = Future_Price.objects.filter(
time_to_match_price__gt=time).distinct(
'time_to_match_price').order_by(
'time_to_match_price')[0:predictions_per_page]
future_prices = Future_Price.objects.filter(time_to_match_price__in=[
x.time_to_match_price for x in future_price_times
]).order_by('time_to_match_price', 'target_price')
else:
future_price_times = Future_Price.objects.filter(
time_to_match_price__lt=time).distinct(
'time_to_match_price').order_by(
'-time_to_match_price')[0:predictions_per_page]
future_prices = Future_Price.objects.filter(time_to_match_price__in=[
x.time_to_match_price for x in future_price_times
]).order_by('time_to_match_price', 'target_price')
response_data = []
for f in future_prices:
received_amounts = Received_Amount.objects.filter(
prediction__future_price=f)
if len(received_amounts) > 0:
expires = f.time_to_match_price.isoformat()
prediction = {
'id':
f.id,
'target_price':
float(f.target_price),
'deposits': [{
'amount':
float(r.amount),
'lt':
r.prediction.price_will_be_less_than_target,
'time_received':
r.time.isoformat(),
'js_time_received':
int(util.datetime_to_unix_time(r.time) * 1e3)
} for r in received_amounts]
}
if len(response_data
) == 0 or response_data[-1]["expires"] != expires:
response_data.append({
'expires':
expires,
'js_expires':
int(
util.datetime_to_unix_time(f.time_to_match_price) *
1e3),
'predictions': [prediction]
})
else:
response_data[-1]['predictions'].append(prediction)
return HttpResponse(json.dumps(response_data), mimetype="application/json")
